Adaptive dynamical cell-clustering in coordinated multipoint network-MIMO transmission systems

Abstract

As one of the most promising techniques for next generation wireless communication, coordinating transmission by multiple points (i.e., radio access points or base stations) have recently attracted a lot of attention because of its potential for intercell co-channel interference mitigation and significant spectral efficiency improvement. This paper firstly presents the system structure and mathematical signal model for multipoint coordinating downlink transmission, and then gives a detailed discussion on dynamical cell-clustering strategies, scheduling utility-metric and resources allocation scheme in adaptively forming cooperation cluster of cells based on detected system parameters, where the user is serviced by a cluster selected from a set of clusters that has been adapted to its particular network circumstance and location. Some numerical analysis shows that with dynamical cell-clustering, a clustered supercell size of 7 is a reasonable choice for improving spectral efficiency. Also, some simulation results are also given to show that the proposed adaptive dynamical cell-clustering methods are beneficial to user performance improvement.